Instructions to use google/siglip-base-patch16-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/siglip-base-patch16-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="google/siglip-base-patch16-224") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("google/siglip-base-patch16-224") model = AutoModelForZeroShotImageClassification.from_pretrained("google/siglip-base-patch16-224", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from google/siglip-base-patch16-224: direct link, hf CLI and curl.
- Browser
- Download file 409 Bytes
-
https://huggingface.co/google/siglip-base-patch16-224/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://google/siglip-base-patch16-224/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/google/siglip-base-patch16-224/resolve/main/special_tokens_map.json
409 Bytes
| { | |
| "eos_token": { | |
| "content": "</s>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": true, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "</s>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": true, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": true, | |
| "single_word": false | |
| } | |
| } | |